Tan-Furukawa/badzupa: Function sets to compute BAD-ZUPA (Bayesian Approach for Detrital Zircon U-Pb ages)

BAD-ZUPA (Bayesian Approach for Detrital Zircon U-Pb ages) is a new evaluation protocol based on Riihimaki and Vehtari (2014)'s Laplace approximation with logistic Gaussian process regression (LA-LGP). BAD-ZUPA evaluates the probability density function (PDF) and their integration, the cumulative distribution function (CDF) through two algorithms: (I) confidence interval estimation and (II) peaks estimation. With BAD-ZUPA we can evaluate the confidence we have on a detrital zircon spectrum and the significance of the observed peaks. In addition, BAD-ZUPA is a powerful tool to estimate how many more zircons we would need to analyze to obtain a desired level of confidence.

Getting started

Package details

AuthorTan Furukawa
MaintainerTan Furukawa <furukawatan@sgmail.com>
LicenseGPL (>=3)
Version1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("Tan-Furukawa/badzupa")
Tan-Furukawa/badzupa documentation built on Aug. 7, 2020, 8:12 p.m.